Leveraging Public Clouds for Financial Services Workloads

Leveraging Public Clouds for Financial Services Workloads

Many industries are learning to leverage cloud resources to help the solve the challenge of ever increasing, and uneven, demands for computationally-based analysis. With the growth of available data, advanced algorithms, competitive pressures, government regulations, and shrinking deadlines, the analysts and IT organizations within these institutions are struggling to find ways to meet these demands. This case study highlights one example of a financial workload and how it was moved to a public cloud. Specifically, we describe the CCAR regulatory analysis that motivated the project; we review the technical and organizational challenges associated with migration to the cloud; and we summarize the rewards of leveraging new approaches and using the cloud to resolve these problems. These challenges include security concerns, relationship to existing process, costs, technical experience, vendor choices and more. The rewards include delivering faster response to the business, improving overall operating efficiency, and driving improved business practices. Based on this initial success, several other time-sensitive workloads were migrated to a public cloud, thus enabling the organization be more responsive to customers and stakeholders. Download and let us know what you think...
Cloud-Agnostic Glossary

Cloud-Agnostic Glossary

No two cloud service providers are the same. This applies not only to the services they provide, but to what they call the services. At Cycle Computing, we spend a lot of time working with multiple cloud service providers; being able to abstract away small differences in providers is one of the compelling features of CycleCloud. Over the years, I’ve kept notes for translating concepts across the providers. I’d always assumed someone had put together a more thorough Rosetta Stone, but when I went looking for one recently, I couldn’t find it. Some websites compare two providers, but nobody has put the three major providers on the same page. I figured if I had looked, others are looking, too. I decided to take my notes and fill them out with some additional details. The result is our new Cloud-Agnostic Glossary. Of course, there’s only so much that can fit on two pages. I intentionally left out a lot of features because including every possible feature would fill a book. This glossary focuses on the features that are most relevant to provisioning big compute infrastructure. Of course, there’s a lot more detail for each of these services than can fit in a glossary. Feel free to download and share with anyone that you think can use this.   For more information about what the cloud service providers offer, see their documentation: * Amazon Web Services — https://aws.amazon.com/documentation/ * Google Cloud Platform — https://cloud.google.com/docs/ * Microsoft Azure —...
What I learned from years in the cloud

What I learned from years in the cloud

As part of the HPC User Forum, Jason Stowe discussed some of key benefits that we have found after years of making customers successful doing their HPC and large computation in the cloud. In this presentation, he breaks it down to a number of key learnings. And, for the time pressed, he touches on the summary early in the presentation. You can see a video of the talk here  or watch below.  ...
Great Financial Services cloud talk at HPC User Forum

Great Financial Services cloud talk at HPC User Forum

Jeffrey Smart from AIG did a great presentation at the HPC User Forum in Tucson, AZ April 11-13. He described his experience in moving some of the time critical AIG Risk Analysis workload from finite internal resources to the full flexibility of the cloud. His talk includes discussing how they were able to expand their workflow and offering to the business and some comments about the challenges in going cloud. You can see the video...
Jason Stowe, Cycle Computing CEO, presented at the 2016 Stanford HPC Conference

Jason Stowe, Cycle Computing CEO, presented at the 2016 Stanford HPC Conference

On February 24th, Jason helped to open the 2016 HPC Advisory Council event at Stanford University. Jason’s talked about how nine years of Cloud HPC experiences has taught us a number of lessons about things like security, scale, workload planning, cost models, multi-users, multi-cloud, and the difference between running one job versus multiple workflows in the cloud. InsideHPC captured the talk on video so that you can see it in its entirety or just watch it below  ...